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WS-Portal an Enriched Web Services Search Engine

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Service-Oriented Computing - ICSOC 2014 Workshops

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8954))

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Abstract

With a growing number of web services, discovering services that can match with a user’s query becomes a big challenging task. It’s very tedious for a service consumer to select the appropriate one according to her/his needs. In this paper, we propose WS-Portal; An Enriched Web Services Search Engine which contains 7063 providers, 115 sub-classes of category and 22236 web services crawled from the Internet. In WS-Portal, severals technologies are employed to improve the effectiveness of web services discovery (i.e. web services clustering, tags recommendation, services rating and monitoring).

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Notes

  1. 1.

    https://www.biocatalogue.org/.

  2. 2.

    http://webservices.seekda.com/.

  3. 3.

    WS-Portal is available online:

    .

References

  1. Aznag, M., Quafafou, M., Jarir, Z.: Correlated topic model for web services ranking. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 4(6), 283–291 (2013)

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  2. Aznag, M., Quafafou, M., Rochd, E.M., Jarir, Z.: Probabilistic topic models for web services clustering and discovery. In: Lau, K.-K., Lamersdorf, W., Pimentel, E. (eds.) ESOCC 2013. LNCS, vol. 8135, pp. 19–33. Springer, Heidelberg (2013)

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  3. Aznag, M., Quafafou, M., Jarir, Z.: Multilabel Learning for Automatic Web Services Tagging. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 5(8), 182–191 (2014)

    Google Scholar 

  4. Aznag, M., Quafafou, M., Jarir, Z.: Leveraging formal concept analysis with topic correlation for service clustering and discovery. In: 21th IEEE International Conference on Web Services (ICWS), Alaska, USA, July 2014

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  5. Rochd, E.M., Quafafou, M., Aznag, M.: Encoding local correspondence in topic models. In: IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington, DC, USA, 4–6 November 2013

    Google Scholar 

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Author information

Authors and Affiliations

  1. Aix-Marseille University, CNRS, LSIS UMR 7296, 13397, Marseille, France

    Mustapha Aznag & Mohamed Quafafou

  2. LISI Laboratory FSSM, Cadi Ayyad University, Marrakech, Morocco

    Zahi Jarir

Authors
  1. Mustapha Aznag
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  2. Mohamed Quafafou
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  3. Zahi Jarir
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Corresponding author

Correspondence to Mustapha Aznag .

Editor information

Editors and Affiliations

  1. Blaise Pascal University, Aubiere, France

    Farouk Toumani

  2. Politecnico di Milano, Milano, Italy

    Barbara Pernici

  3. Université Paris Dauphine, Paris, France

    Daniela Grigori

  4. Université Claude Bernard Lyon 1, Villeurbanne, France

    Djamal Benslimane

  5. Vienna University of Economics, Vienna, Austria

    Jan Mendling

  6. National Engineering School of Tunis, Tunis, Tunisia

    Nejib Ben Hadj-Alouane

  7. University of Miami, Coral Gables, Florida, USA

    Brian Blake

  8. University Lorraine, Nancy, France

    Olivier Perrin

  9. University of Miami, Coral Gables, Florida, USA

    Iman Saleh Moustafa

  10. Telecom SudParis, Evry, France

    Sami Bhiri

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© 2015 Springer International Publishing Switzerland

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Aznag, M., Quafafou, M., Jarir, Z. (2015). WS-Portal an Enriched Web Services Search Engine. In: Toumani, F., et al. Service-Oriented Computing - ICSOC 2014 Workshops. Lecture Notes in Computer Science(), vol 8954. Springer, Cham. https://doi.org/10.1007/978-3-319-22885-3_37

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  • DOI: https://doi.org/10.1007/978-3-319-22885-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22884-6

  • Online ISBN: 978-3-319-22885-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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